Python notebook using data from UCI Online Retail II Data Set · 36 views · 5mo ago·pandas, matplotlib, numpy

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UCI Online Retail II Data Set
online_retail_09_10.csv
online_retail_10_11.csv
online_retail_09_10.csv(42.33 MB)
8 of 8 columns
keyboard_arrow_downTransactions occurred between 01/12/2009 and 09/12/2010.
Invoice number. Nominal. A 6-digit integral number uniquely assigned to each transaction. If this code starts with the letter 'c', it indicates a cancellation.
Product (item) code. Nominal. A 5-digit integral number uniquely assigned to each distinct product.
Product (item) name. Nominal.
The quantities of each product (item) per transaction. Numeric.
Invoice date and time. Numeric. The day and time when a transaction was generated.
Unit price. Numeric. Product price per unit in sterling (£).
Customer number. Nominal. A 5-digit integral number uniquely assigned to each customer.
Country name. Nominal. The name of the country where a customer resides.

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